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| | UNDERSTANDING SOFTWARE PRODUCTIVITY |
 | | Lawrence observed that source lines of code, number of statements, number of procedure invocations, number of functional units, and number of transfers of control are all highly correlated. |
 | | The consequence is that studies of productivity measurement claiming statistically substantiated relationships based on inappropriate analytical techniques are somewhat dubious, and the strength of the cited relationship may not be as strong as claimed. |
 | | Accordingly, the characteristics that distinguish these potential modes of software production from one another are their values along a set of dimensions that include (1) developer skill requirements, (2) ease of productivity measurement and instrumentation, (3) capitalization, (4) flexibility of procedures to accomodate development anomalies, and (5) ability to adopt and assimilate software innovations. |
| cwis.usc.edu /dept/ATRIUM/Papers/Software_Productivity.html (14128 words) |
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